Solutions Architect

This Principal Solutions Architect role in the Services Delivery team focuses on Data Engineering, helping customers modernize and expand their use of the Snowflake AI Data Cloud. The role involves taking data pipelines from ideation to production, pioneering agentic data engineering practices where AI agents write, test, deploy, and monitor data workloads. The architect will design tailored data engineering solutions, define repeatable agent-driven delivery patterns, and work hands-on with SQL, Python, Snowpark, and dbt to build POCs and reference implementations.

This Solutions Architect role in Israel engages with customers as a trusted advisor, extracting business requirements and translating them into well-architected recommendations on the Snowflake platform. The role involves overseeing implementations, demonstrating technical leadership through code and solution architectures, and designing end-to-end AI/ML solutions. The SA will drive adoption of Snowflake's AI product suite, including Cortex and Streamlit, and advise on MLOps best practices.

This Solution Architect role designs and implements technical solutions for Insider One's marketing and customer engagement platform. The architect works with customers to ensure the platform meets their needs and integrates effectively.

This Senior Solutions Engineer role in Bangalore, India, helps customers turn complex data and AI priorities into measurable business outcomes. The engineer will lead technical discovery, design solutions using Snowflake capabilities like Cortex AI and Snowpark, and build proofs of concept. Requires deep technical expertise, consultative discovery skills, and executive communication abilities.

This role focuses on deploying Snowplow's AI capabilities directly with customers, bridging the gap between product and real-world implementation. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This role involves developing and implementing AI solutions within Snowplow's product ecosystem. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This senior engineering role involves building and scaling the AI platform infrastructure that powers Snowplow's applied AI solutions. The engineer will focus on platform architecture, reliability, and performance for AI-driven features.